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Self-Supervised Despeckling Algorithm with an Enhanced U-Net for Synthetic Aperture Radar Images

Self-supervised method has proven to be a suitable approach for despeckling on synthetic aperture radar (SAR) images. However, most self-supervised despeckling methods are trained by noisy-noisy image pairs, which are constructed by using natural images with simulated speckle noise, time-series real...

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Bibliografische gegevens
Hoofdauteurs: Gang Zhang, Zhi Li, Xuewei Li, Sitong Liu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2021-10-01
Reeks:Remote Sensing
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Online toegang:https://www.mdpi.com/2072-4292/13/21/4383
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